DocumentCode
2515300
Title
Diagnosis of transformer winding deformation on the basis of artificial neural network
Author
Zhijian, Jin ; Jingtao, Li ; Zishu, Zhu
Author_Institution
Shanghai Jiaotong Univ., China
Volume
1
fYear
2000
fDate
2000
Firstpage
173
Abstract
It needs much experience to determine the deformation of the transformer winding with the FRA method. This paper introduces the BP neural network and discusses some calculation improvements in order to apply it to the practical engineering problem. As a result it can recognize the deformation of the transformer winding automatically and effectively through studying various practical examples
Keywords
automatic testing; backpropagation; feedforward neural nets; power engineering computing; power transformer testing; transformer windings; BP neural network; FRA method; artificial neural network; backpropagation; diagnosis; feedforward neural network; transformer winding deformation; Artificial neural networks; Backpropagation algorithms; Feedforward neural networks; Frequency; Neural networks; Neurons; Power transformers; Stress; US Department of Transportation; Windings;
fLanguage
English
Publisher
ieee
Conference_Titel
Properties and Applications of Dielectric Materials, 2000. Proceedings of the 6th International Conference on
Conference_Location
Xi´an
Print_ISBN
0-7803-5459-1
Type
conf
DOI
10.1109/ICPADM.2000.875658
Filename
875658
Link To Document